Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy
This study introduces a novel method for identifying the geographical origins of Panax notoginseng using near-infrared spectroscopy and a modified K-nearest neighbors algorithm. The proposed model integrates distance and cosine similarity metrics to enhance classification performance, particularly f...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10843663/ |
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| author | Xuefeng Cheng Min Liao Juan Liu |
| author_facet | Xuefeng Cheng Min Liao Juan Liu |
| author_sort | Xuefeng Cheng |
| collection | DOAJ |
| description | This study introduces a novel method for identifying the geographical origins of Panax notoginseng using near-infrared spectroscopy and a modified K-nearest neighbors algorithm. The proposed model integrates distance and cosine similarity metrics to enhance classification performance, particularly for imbalanced datasets. Principal component analysis is employed to reduce dimensionality, significantly improving computational efficiency without sacrificing accuracy. Comparative analyses reveal that the modified K-nearest neighbors surpasses classic K-nearest neighbors and other models, achieving up to 96.90% accuracy on balanced datasets and 95.79% on imbalanced datasets. These results demonstrate the potential of combining spectral data processing with advanced machine learning techniques for efficient and accurate geographical origin identification, providing a robust tool for quality assurance and traceability in traditional Chinese medicine. |
| format | Article |
| id | doaj-art-dd136c9001a74a18987def7b3df2b14a |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-dd136c9001a74a18987def7b3df2b14a2025-01-25T00:01:02ZengIEEEIEEE Access2169-35362025-01-0113138321384610.1109/ACCESS.2025.353076610843663Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared SpectroscopyXuefeng Cheng0https://orcid.org/0009-0009-8386-6101Min Liao1Juan Liu2https://orcid.org/0009-0008-3916-4754School of Big Data and Information Industry, Chongqing City Management College, Chongqing, ChinaChongqing Productivity Council, Chongqing, ChinaSchool of Artificial Intelligence, Chongqing University of Education, Chongqing, ChinaThis study introduces a novel method for identifying the geographical origins of Panax notoginseng using near-infrared spectroscopy and a modified K-nearest neighbors algorithm. The proposed model integrates distance and cosine similarity metrics to enhance classification performance, particularly for imbalanced datasets. Principal component analysis is employed to reduce dimensionality, significantly improving computational efficiency without sacrificing accuracy. Comparative analyses reveal that the modified K-nearest neighbors surpasses classic K-nearest neighbors and other models, achieving up to 96.90% accuracy on balanced datasets and 95.79% on imbalanced datasets. These results demonstrate the potential of combining spectral data processing with advanced machine learning techniques for efficient and accurate geographical origin identification, providing a robust tool for quality assurance and traceability in traditional Chinese medicine.https://ieeexplore.ieee.org/document/10843663/Panax notoginsenggeographical origin identificationnear-infrared spectroscopymodified K-nearest neighbors algorithm |
| spellingShingle | Xuefeng Cheng Min Liao Juan Liu Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy IEEE Access Panax notoginseng geographical origin identification near-infrared spectroscopy modified K-nearest neighbors algorithm |
| title | Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy |
| title_full | Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy |
| title_fullStr | Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy |
| title_full_unstemmed | Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy |
| title_short | Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy |
| title_sort | geographical origin identification of italic panax notoginseng italic using a modified k nearest neighbors model with near infrared spectroscopy |
| topic | Panax notoginseng geographical origin identification near-infrared spectroscopy modified K-nearest neighbors algorithm |
| url | https://ieeexplore.ieee.org/document/10843663/ |
| work_keys_str_mv | AT xuefengcheng geographicaloriginidentificationofitalicpanaxnotoginsengitalicusingamodifiedknearestneighborsmodelwithnearinfraredspectroscopy AT minliao geographicaloriginidentificationofitalicpanaxnotoginsengitalicusingamodifiedknearestneighborsmodelwithnearinfraredspectroscopy AT juanliu geographicaloriginidentificationofitalicpanaxnotoginsengitalicusingamodifiedknearestneighborsmodelwithnearinfraredspectroscopy |